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Record W319099235 · doi:10.4000/volume.4334

L’évocation mémorielle des boîtes à chansons au Québec

2014· article· fr· W319099235 on OpenAlexaffabout
Danick Trottier

Bibliographic record

VenueVolume ! · 2014
Typearticle
Languagefr
FieldPsychology
TopicNostalgia and Consumer Behavior
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Cette étude porte sur le projet québécois La mémoire des boîtes à chansons, qui a vu le jour en 1996 sous forme d’émissions télévisuelles à la chaîne Canal D, pour ensuite se matérialiser en un coffret de deux disques avec témoignages à l’appui dans le livret. La nostalgie qui se joue dans la mémoire évoquée repose à la fois sur les thèmes des chansons et le rappel du lieu où normalement elles ont vu le jour, soit les boîtes à chansons des années 1960. Comme lieu de mémoire, le coffret montre la façon dont la canonisation du mouvement des chansonniers peut mettre à profit un sentiment de nostalgie de manière à consolider une appartenance générationnelle chez les baby-boomers, d’où les interactions à l’œuvre entre canon et nostalgie. Dans ce contexte, une certaine industrie de la musique pop québécoise, soit celle généralement associée à l’héritage de Guy Latraverse, propose un objet de consommation gouverné par un devoir de mémoire.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.099
Threshold uncertainty score0.199

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.005
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0140.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.028
GPT teacher head0.306
Teacher spread0.278 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2014
Admission routes2
Has abstractyes

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